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Mobility patterns are associated with experienced income segregation in large US cities

Sociology

Mobility patterns are associated with experienced income segregation in large US cities

E. Moro, D. Calacci, et al.

This groundbreaking study by Esteban Moro, Dan Calacci, Xiaowen Dong, and Alex Pentland reveals how urban income segregation is experienced differently from how it appears on paper. Through high-resolution mobility data from 4.5 million mobile phone users across 11 major US cities, the researchers demonstrate that the patterns of social interactions challenge traditional views. Discover the vital role of mobility behavior in shaping income segregation experiences.

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Playback language: English
Abstract
This study challenges the traditional understanding of urban income segregation by incorporating high-resolution mobility data. Using data from 4.5 million mobile phone users in 11 large US cities, the researchers show that experienced income segregation, as measured by actual social interactions in various locations, differs significantly from residential patterns. A Schelling extension of a mobility model reveals that experienced segregation is linked to an individual's tendency to explore new places and places with diverse income groups. The findings highlight the importance of mobility behavior in shaping income segregation experiences and suggest that urban researchers should consider mobility patterns alongside residential data.
Publisher
Nature Communications
Published On
Jul 30, 2021
Authors
Esteban Moro, Dan Calacci, Xiaowen Dong, Alex Pentland
Tags
income segregation
urban mobility
social interactions
high-resolution data
residential patterns
diverse income groups
Schelling model

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